Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Food calorie estimation using convolutional neural network Subject The topic of the resource Convolutional Neural Network; Deep Learning; Food Classification; Food Detection; Pattern Recognition; Tensorflow Description An account of the resource The modern world healthy body depends on the number of calories consumed, hence monitoring calorie intake is necessary to maintain good health. At the point when your Body Mass Index is somewhere in between from 25 to 29. It implies that you are conveying overabundance weight. Assuming your BMI is more than 30, it implies you have obesity. To get in shape or keep up the solid weight individuals needs to monitor the calorie they take. The existing system calorie estimation is to be happened manually. The proposed model is to provide unique solution for measuring calorie by using deep learning algorithm. The food calorie calculation is very important in medical field. Because this food calorie is provide good health condition. This measurement is taken from food image in different objects that is fruits and vegetables. This measurement is taken with the help of neural network. The tensor flow is one of the best methods to classify the machine learning method. This method is implementing to calculate the food calorie with the help of Convolutional Neural Network. The input of this calculated model is taken an image of food. The food calorie value is calculated the proposed CNN model with the help of food object detection. The primary parameter of the result is taken by volume error estimation and secondary parameter is calorie error estimation. The volume error estimation is gradually reduced by 20%. That indicates the proposed CNN model is providing higher accuracy level compare to existing model. 2021 IEEE. Creator An entity primarily responsible for making the resource Kasyap V.B.; Jayapandian N. Source A related resource from which the described resource is derived 2021 3rd International Conference on Signal Processing and Communication, ICPSC 2021, pp. 666-670. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICSPC51351.2021.9451812" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICSPC51351.2021.9451812</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112856993&amp;doi=10.1109%2FICSPC51351.2021.9451812&amp;partnerID=40&amp;md5=c3c93b20ead0885a586667085b4510c0" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112856993&amp;doi=10.1109%2fICSPC51351.2021.9451812&amp;partnerID=40&amp;md5=c3c93b20ead0885a586667085b4510c0</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166542864-4 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kasyap V.B., CHRIST (Deemed to Be University), School of Engineering and Technology, India; Jayapandian N., CHRIST (Deemed to Be University), School of Engineering and Technology, India